Code Review as Trust Ritual

Code review, the practice of peer evaluation before code enters the main codebase, exists ostensibly to catch bugs, ensure consistency, and maintain quality. These are its productive functions, and they are real. But its social function — the trust built through repeated demonstrations of careful attention and honest feedback, the norms transmitted through the modeling of quality standards, the professional relationships deepened through sustained intellectual engagement — is equally real and far more consequential for organizational resilience. Code review is inherently vulnerable. It requires the author to submit work for scrutiny and the reviewer to invest time reading another's code with genuine attention. Both must be willing to be wrong, to learn, to negotiate. The interaction is a trust-building exercise precisely because both parties demonstrate reliability — the author by producing reviewable code, the reviewer by providing thoughtful feedback — under conditions where unreliability was possible. When AI can review code more comprehensively and more quickly than humans, the productive justification for human review diminishes.